1万 件 ・ 関連度順
概要と使いどころ
Extract structured data from receipts and invoices for bookkeeping, expense tracking, and tax preparation. Supports email, photos, scanned images, PDFs, and accounting exports. Outputs vendor, date, amount, tax, line items as table, CSV, or JSON. Trigger on "process receipts", "extract receipts from email", "scan invoices", "capture expenses".
日本語の概要は準備中です。原文の説明を表示しています。
Convert a BMad skill into a downloadable web bundle (Gemini Gem + ChatGPT Custom GPT) with a persona, install instructions, and knowledge files. Use when a user wants to publish a skill to consumer LLM platforms (Gemini, ChatGPT).
日本語の概要は準備中です。原文の説明を表示しています。
Build an Anima LoRA from a single-character or style name, from Danbooru collection through curation, section-ordered WD14 captions, dataset checks, confirmed training, fixed-seed checkpoint validation, and a staged Civitai draft. Use for requests such as make a LoRA of X, collect images and train a character LoRA, train and upload to Civitai, or build a dataset from scratch and publish. Delegate training to lora-trainer and structural checks to dataset-doctor; never train without confirmation and never auto-publish.
日本語の概要は準備中です。原文の説明を表示しています。
Audit and repair a kohya-style LoRA dataset before training. Use when the user asks to check, validate, inspect, fix, clean, 体检, or 修 a dataset, captions, or tags. Inspect image count, repeats and step budget, resolution and aspect buckets, duplicates, corrupt or non-RGB images, missing or empty captions, trigger consistency, and tag-frequency hygiene. Return a structural PASS, WARN, or FAIL report and apply only confirmed fix_dataset.py actions, dry-run first with displaced originals quarantined.
日本語の概要は準備中です。原文の説明を表示しています。
AGENTS.md・エージェント定義・スキルの肥大化、重複、競合、過剰な発火条件を整理する。指示の監査・改善を求められたとき、または指示編集で具体的な問題を見つけたときに使う。通常のコード整理は対象外。
Reinterpret a supplied architecture or structural-detail photograph as a bold relief-print poster with carved marks, a restrained ink palette and a tall condensed title. Use for 建筑版画海报、屋檐木刻海报、architectural linocut posters; not for a generic halftone photo filter.
日本語の概要は準備中です。原文の説明を表示しています。
Recast a supplied everyday photo as a witty illustrated product instruction sheet with a large Chinese title and concise English annotations. Use for 日常说明书、宠物使用说明、生活物品冷幽默说明图 or a fictional everyday object manual poster.
日本語の概要は準備中です。原文の説明を表示しています。
Capture and develop a reusable skill, tool repair, or behavior improvement noticed while completing a task. Use when instructions are stale, a recurring workflow deserves a skill, or a tool contract fails in practice.
日本語の概要は準備中です。原文の説明を表示しています。
Map repository structure, likely tests, git state, and write scope before edits. Use when asked for repo mapping, blast radius, file inventory, or change planning.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a structured report on completed work, a feature area, or a topic. Saved to the reports directory. Invoked by saying "report", "generate report", or "summarize work".
日本語の概要は準備中です。原文の説明を表示しています。
Use for a focused high-craft polish pass after structure and art direction are stable; improves typography metrics, spacing rhythm, imagery crop, surfaces, optical alignment, micro-interactions, and restrained detail without redesigning the whole page.
日本語の概要は準備中です。原文の説明を表示しています。
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English. Also covers LaTeX layout/typesetting (排版) fixes — loose or sparse pages, stranded section headings, figures that don't fill the page or split across pages, "Float too large", multi-panel figure arrangement, and Supplementary Information that looks empty — via references/latex-layout.md. Also trigger on general academic/scientific writing requests even without the word "Nature", including academic writing, scientific writing, SCI/paper writing, English manuscript polishing, language editing, proofreading, and Chinese phrasings such as 学术写作、科研写作、论文润色、写paper、SCI写作、英文论文润色、语言润色、润色、改写、学术英语、英文写作.
日本語の概要は準備中です。原文の説明を表示しています。
Rewrite dense or technical text into a clear plain-language summary with a fixed structure (TL;DR, why it matters, key points, caveats). Use when the user asks to summarize, simplify, explain, "put this in plain language", or make something readable for a general / non-expert audience.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user provides a URL from AMD / ROCm official sources (github.com/AMD/*, github.com/ROCm/*, github.com/ROCmSoftwarePlatform/*, rocm.docs.amd.com, amd.com/…/rocm, gpuopen.com). Prefer this over generic GitHub for official ROCm URLs. Generates a hands-on tutorial-following project with no collaborator roles — only the user and the Instructor.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a user provides a GitHub URL and the planner needs to converge that repo plus the user's goal into a concrete project blueprint for later execution. This skill handles GitHub-input project intake, Phase 1 intent convergence, and downstream project handoff structure. It does not generate teaching material packages.
日本語の概要は準備中です。原文の説明を表示しています。
Synthesize WooCommerce coupons at runtime without creating shop_coupon posts in the DB — via the woocommerce_get_shop_coupon_data filter, the hidden-but-powerful virtual-coupon mechanism. Filter fires inside WC_Coupon::__construct, and a non-false return becomes a fully functional coupon read through read_manual_coupon. Plus custom discount types via woocommerce_coupon_discount_types and woocommerce_coupon_get_discount_amount, and the validation triple woocommerce_coupon_is_valid / _is_valid_for_cart / _is_valid_for_product. Use when implementing rule-driven coupons (auto-apply X% to logged-in users, code-pattern detection like LOYALTY-42, external CRM integration that hands out codes), without populating wp_posts. The AI-deficient pattern; most LLMs don't know dynamic coupons exist. Triggers on woocommerce_get_shop_coupon_data, woocommerce_coupon_discount_types, woocommerce_coupon_get_discount_amount, read_manual_coupon, virtual coupon, dynamic coupon in WC context.
日本語の概要は準備中です。原文の説明を表示しています。
How NV oOS approval gates work for operator credentials and how to phrase tool requests so the human can adjudicate quickly. Use whenever a write-capable tool call pauses for approval or when planning a destructive change.
日本語の概要は準備中です。原文の説明を表示しています。
Manage organizational teams and professional roles in the NV oOS Pro Toolkit. Covers team creation, profession definitions, role assignments, and organizational structure. Use when setting up teams, defining professional roles, assigning users to teams, or managing organizational hierarchy.
日本語の概要は準備中です。原文の説明を表示しています。
Produces structured content calendars with platform-specific posting schedules, content pillars, and batch publishing plans. Use when the task asks to "plan content", "schedule posts", "create a content calendar", "editorial calendar", "posting schedule", or "content strategy". Covers content pillars, posting cadence, multi-site calendars, seasonal hooks, and content repurposing matrices.
日本語の概要は準備中です。原文の説明を表示しています。
Produces complete brand identity systems — logos (AI-generated via Gemini), color palettes, typography, imagery guidelines, and WordPress-based brand asset libraries. Use when the task asks for "brand kit", "logo design", "brand guidelines", "brand identity", "visual identity", "brand colors", or "brand assets". Covers AI-assisted logo generation, asset sizing, brand archetypes, and WordPress brand page structure.
日本語の概要は準備中です。原文の説明を表示しています。
Generate professional documents — PDF, Word (.docx), Excel (.xlsx), and invoices — from natural language descriptions or structured data. Covers AI-powered and simple document creation, HTML-to-PDF conversion, PDF extraction/OCR, merging, watermarking, and data export. Use when you need to create campaign decks, reports, proposals, invoices, spreadsheets, or any shareable document — especially for Step 7 monthly presentations, campaign briefs, and analytics reports.
日本語の概要は準備中です。原文の説明を表示しています。
Produces complete monthly marketing campaign plans — themes, product selection, weekly content structures, recurring posts, promotions, and presentation decks. Use when the task asks to "plan this month's content", "orchestrate a campaign", "build a marketing plan", "select products for promotion", "create a campaign calendar", or "monthly SOP". Covers the full 7-step campaign lifecycle from theme selection to presentation delivery.
日本語の概要は準備中です。原文の説明を表示しています。
Scan the current codebase to identify and categorize every public-facing page (landing pages, product/feature pages, solutions, pricing, resources, blogs, case studies, about, legal) and produce a single authoritative inventory document. Use this skill whenever the user asks to "init overgrow", "set up overgrow", "scan the site", "inventory the pages", "categorize pages", "map the site", or whenever any other overgrow skill needs a baseline page map and none exists yet. Output is a structured markdown inventory at `.overgrow/inventory.md` that all other overgrow skills read from.
日本語の概要は準備中です。原文の説明を表示しています。
Remove signs of AI-generated code from a codebase while preserving behavior. Use when editing or reviewing code to make it read like a human engineer on this team wrote it. Works through a test-guarded detect-modify-verify loop: pin down the functional contract and edge cases first, write or run tests as a safety net, then rewrite AI tells (redundant comments, emoji, verbose names, reflexive try/except, defensive null-guards, over-decomposition, speculative abstraction, dead code, non-idiomatic constructs, hallucinated dependencies) and re-verify after every change. The tests decide whether a defensive block is slop or a real safeguard.
日本語の概要は準備中です。原文の説明を表示しています。